About

Lidio Meireles is an accomplished Machine Learning Engineer and Data Scientist with over 11 years of experience in the field. Currently, he works as a Lead Analytic Scientist at FICO, where he specializes in Predictive Modeling Anti-Money Laundering (AML). In his role, he is responsible for developing and implementing machine learning models to identify and prevent financial crimes. Before joining FICO, Lidio worked as a Senior Research Scientist and Data Scientist at Vertex Pharmaceuticals. During his time there, he developed and applied computational methods and predictive modeling to accelerate drug discovery. He discovered insights that led to improved potency and properties of lead compounds using visualization and matched-pair analysis. He also developed a multi-parameter optimization algorithm for identifying compounds with a balance of good properties. Lidio exploited a correlation between potency and docking scores to accurately predict the potency for 22 compounds, with an R2 value of 0.85. Lidio has a Ph.D. in Computational Biology from the University of Pittsburgh, where he conducted research on the development of algorithms for protein structure prediction. He also holds a Master's Degree in Computer Science and Bioinformatics from Kyoto University in Japan and a Bachelor's Degree in Computer Science from the Universidade Federal de Sergipe in Brazil. Lidio's technical expertise includes Research Science, Machine Learning, and Data Science. He is skilled in developing and implementing predictive models for various applications, including AML and drug discovery. He has a strong background in computational methods and algorithms, which he leverages to solve complex problems. Overall, Lidio is a highly skilled Machine Learning Engineer and Data Scientist with a proven track record of success in the field. He is a dedicated and results-driven professional who is passionate about using his skills to make a positive impact.